Opinions differ as to how much impact AI tools have on the environment. Impact on the environment is an important issue for the technology industry in general including the use of web searching, online library tools, cloud based storage and social media. Data centres consume huge amounts of energy and water. Training and maintaining an LLM uses vast amounts of energy and other natural resources.
Kate Crawford's cartography of generative AI provides an in-depth view of people, processes and resources necessary for AI tools to be created, trained and delivered including:
It is also important to consider:
Consider the following questions to help you reflect on on the environmental impact of AI.
References
Crawford, K. (2021) The Atlas of AI : Power, Politics, and the Planetary Costs of Artificial Intelligence, New Haven and London: Yale University Press.
Crawford, K. (2024) Cartography of Generative AI. Available at: https://cartography-of-generative-ai.net/ (Accessed: 30 April 2025).
Lacoste, A. et al. (2019) Quantifying the Carbon Emissions of Machine Learning​, arXiv. Available at: https://doi.org/10.48550/arXiv.1910.09700
Mazzucato, M. (2024) 'The ugly truth behind ChatGPT: AI is guzzling resources at planet-eating rates', The Guardian, 30 May. Available at: https://www.theguardian.com/commentisfree/article/2024/may/30/ugly-truth-ai-chatgpt-guzzling-resources-environment (Accessed: 30 April 2025).